End of training
Browse files- README.md +49 -12
- adapter_config.json +7 -7
- adapter_model.safetensors +1 -1
- chat_template.jinja +93 -0
- runs/Apr27_21-50-03_86434e20f6c9/events.out.tfevents.1745790606.86434e20f6c9.38902.0 +3 -0
- runs/Apr28_22-29-03_2cc8f6c3e236/events.out.tfevents.1745879346.2cc8f6c3e236.8028.0 +3 -0
- runs/Jul01_15-07-40_6f3bc00ffbbb/events.out.tfevents.1751382463.6f3bc00ffbbb.160160.0 +3 -0
- runs/Jul01_15-08-47_6f3bc00ffbbb/events.out.tfevents.1751382529.6f3bc00ffbbb.160570.0 +3 -0
- runs/May02_17-53-54_9d109ec2dc04/events.out.tfevents.1746208437.9d109ec2dc04.78872.0 +3 -0
- runs/May02_18-25-38_9d109ec2dc04/events.out.tfevents.1746210339.9d109ec2dc04.84266.0 +3 -0
- runs/May02_18-53-30_9d109ec2dc04/events.out.tfevents.1746212011.9d109ec2dc04.89413.0 +3 -0
- runs/May02_19-05-35_9d109ec2dc04/events.out.tfevents.1746212737.9d109ec2dc04.91622.0 +3 -0
- runs/May26_09-21-19_fc54f9e67b12/events.out.tfevents.1748251282.fc54f9e67b12.9081.0 +3 -0
- tokenizer_config.json +2 -3
- training_args.bin +3 -0
README.md
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---
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base_model: acezxn/ACI_Cyber_Base_Llama_3B
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tags:
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- transformers
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- unsloth
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- llama
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- trl
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- en
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---
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#
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- **Finetuned from model :** acezxn/ACI_Cyber_Base_Llama_3B
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---
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base_model: acezxn/ACI_Cyber_Base_Llama_3B
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library_name: transformers
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model_name: SOC_Query_Generation_Base_Llama_3B
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tags:
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- generated_from_trainer
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- unsloth
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- trl
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- sft
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licence: license
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---
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# Model Card for SOC_Query_Generation_Base_Llama_3B
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This model is a fine-tuned version of [acezxn/ACI_Cyber_Base_Llama_3B](https://huggingface.co/acezxn/ACI_Cyber_Base_Llama_3B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="acezxn/SOC_Query_Generation_Base_Llama_3B", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.19.0
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- Transformers: 4.53.0
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- Pytorch: 2.7.0
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- Datasets: 3.6.0
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- Tokenizers: 0.21.2
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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adapter_config.json
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"v_proj",
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora":
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}
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"up_proj",
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"down_proj",
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"v_proj",
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"k_proj",
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"gate_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": true
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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chat_template.jinja
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{{- bos_token }}
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{%- if custom_tools is defined %}
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{%- set tools = custom_tools %}
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{%- endif %}
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{%- if not tools_in_user_message is defined %}
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{%- set tools_in_user_message = true %}
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{%- endif %}
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{%- if not date_string is defined %}
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{%- if strftime_now is defined %}
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{%- set date_string = strftime_now("%d %b %Y") %}
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{%- else %}
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{%- set date_string = "26 Jul 2024" %}
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{%- endif %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{#- This block extracts the system message, so we can slot it into the right place. #}
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{%- if messages[0]['role'] == 'system' %}
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{%- set system_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- endif %}
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{#- System message #}
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{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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{%- if tools is not none %}
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{{- "Environment: ipython\n" }}
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{%- endif %}
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{{- "Cutting Knowledge Date: December 2023\n" }}
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{{- "Today Date: " + date_string + "\n\n" }}
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{%- if tools is not none and not tools_in_user_message %}
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{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.\n\n" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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{%- endfor %}
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{%- endif %}
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{{- system_message }}
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{{- "<|eot_id|>" }}
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{#- Custom tools are passed in a user message with some extra guidance #}
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{%- if tools_in_user_message and not tools is none %}
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{#- Extract the first user message so we can plug it in here #}
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{%- if messages | length != 0 %}
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{%- set first_user_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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{%- endif %}
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{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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{{- "Given the following functions, please respond with a JSON for a function call " }}
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{{- "with its proper arguments that best answers the given prompt.\n\n" }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.\n\n" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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{%- endfor %}
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{{- first_user_message + "<|eot_id|>"}}
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{%- endif %}
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{%- for message in messages %}
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{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
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{%- elif 'tool_calls' in message %}
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{%- if not message.tool_calls|length == 1 %}
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{{- raise_exception("This model only supports single tool-calls at once!") }}
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{%- endif %}
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{%- set tool_call = message.tool_calls[0].function %}
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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{{- '{"name": "' + tool_call.name + '", ' }}
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{{- '"parameters": ' }}
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{{- tool_call.arguments | tojson }}
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{{- "}" }}
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{{- "<|eot_id|>" }}
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{%- elif message.role == "tool" or message.role == "ipython" %}
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{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
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{%- if message.content is mapping or message.content is iterable %}
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{{- message.content | tojson }}
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{%- else %}
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{{- message.content }}
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{%- endif %}
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{{- "<|eot_id|>" }}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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{%- endif %}
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runs/Apr27_21-50-03_86434e20f6c9/events.out.tfevents.1745790606.86434e20f6c9.38902.0
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runs/May02_19-05-35_9d109ec2dc04/events.out.tfevents.1746212737.9d109ec2dc04.91622.0
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b6b662b3871e391a86a1c1c16f8fd0e410cb27943ff237d53dc82fbfe263c3f2
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| 3 |
+
size 48138
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runs/May26_09-21-19_fc54f9e67b12/events.out.tfevents.1748251282.fc54f9e67b12.9081.0
ADDED
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:7a8337b55badaedf923ebd62528796ad921ec01c0e7d270daff88b7395110d92
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| 3 |
+
size 48138
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tokenizer_config.json
CHANGED
|
@@ -2051,7 +2051,6 @@
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|
| 2051 |
}
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| 2052 |
},
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| 2053 |
"bos_token": "<|begin_of_text|>",
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| 2054 |
-
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
|
| 2055 |
"clean_up_tokenization_spaces": true,
|
| 2056 |
"eos_token": "<|eot_id|>",
|
| 2057 |
"extra_special_tokens": {},
|
|
@@ -2061,7 +2060,7 @@
|
|
| 2061 |
],
|
| 2062 |
"model_max_length": 131072,
|
| 2063 |
"pad_token": "<|finetune_right_pad_id|>",
|
| 2064 |
-
"padding_side": "
|
| 2065 |
-
"tokenizer_class": "
|
| 2066 |
"unk_token": null
|
| 2067 |
}
|
|
|
|
| 2051 |
}
|
| 2052 |
},
|
| 2053 |
"bos_token": "<|begin_of_text|>",
|
|
|
|
| 2054 |
"clean_up_tokenization_spaces": true,
|
| 2055 |
"eos_token": "<|eot_id|>",
|
| 2056 |
"extra_special_tokens": {},
|
|
|
|
| 2060 |
],
|
| 2061 |
"model_max_length": 131072,
|
| 2062 |
"pad_token": "<|finetune_right_pad_id|>",
|
| 2063 |
+
"padding_side": "left",
|
| 2064 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 2065 |
"unk_token": null
|
| 2066 |
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e040c2b77889ac5cbdebf86032b70b9b680221bcfd9dad7c42715230d7599d4
|
| 3 |
+
size 6289
|